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Volumn 21, Issue 8, 2007, Pages 1265-1278

Efficient pseudoinverse linear discriminant analysis and its nonlinear form for face recognition

Author keywords

Efficient algorithm; Face recognition; Kernel pseudoinverse linear discriminant analysis; Kernel trick; Pseudoinverse linear discriminant analysis

Indexed keywords

COMPUTATION THEORY; DISCRIMINANT ANALYSIS; FEATURE EXTRACTION; NONLINEAR ANALYSIS; PROBLEM SOLVING;

EID: 38149111771     PISSN: 02180014     EISSN: None     Source Type: Journal    
DOI: 10.1142/S0218001407005946     Document Type: Conference Paper
Times cited : (24)

References (16)
  • 2
    • 13344287015 scopus 로고    scopus 로고
    • Wilke and A. Barkana, Discriminative common vectors for face recognition
    • H. Cevikalp, M. Neamtu, Wilke and A. Barkana, Discriminative common vectors for face recognition, IEEE Trans. Patt. Anal. Mach. Intell. 27(1) (2005) 4-13.
    • (2005) IEEE Trans. Patt. Anal. Mach. Intell , vol.27 , Issue.1 , pp. 4-13
    • Cevikalp, H.1    Neamtu, M.2
  • 3
    • 34249753618 scopus 로고
    • Support-vector networks
    • C. Cortes and V. N. Vapnik, Support-vector networks, Mach. Learn. 20(3) (1995) 273-297.
    • (1995) Mach. Learn , vol.20 , Issue.3 , pp. 273-297
    • Cortes, C.1    Vapnik, V.N.2
  • 6
    • 21844512674 scopus 로고
    • Discriminant analysis with singular covariance matrices; methods and applications to spectroscopic data
    • W. J. Krzanowski, P. Jonathan, W. V. McCarthy and M. R. Thomas, Discriminant analysis with singular covariance matrices; methods and applications to spectroscopic data, Appl. Stat 44 (1995) 101-115.
    • (1995) Appl. Stat , vol.44 , pp. 101-115
    • Krzanowski, W.J.1    Jonathan, P.2    McCarthy, W.V.3    Thomas, M.R.4
  • 7
    • 33644922123 scopus 로고    scopus 로고
    • Discriminant common vecotors versus neighbourhood components analysis and Laplacianfaces; a comparative study in small sample size problem
    • J. Liu and S. C. Chen, Discriminant common vecotors versus neighbourhood components analysis and Laplacianfaces; a comparative study in small sample size problem, Imag. Vis. Comput. 24(3) (2006) 249-262.
    • (2006) Imag. Vis. Comput , vol.24 , Issue.3 , pp. 249-262
    • Liu, J.1    Chen, S.C.2
  • 8
    • 34548050716 scopus 로고    scopus 로고
    • A study on three linear discriminant analysis based methods in small sample size problem
    • J. Liu, S. C. Chen and X. Tan, A study on three linear discriminant analysis based methods in small sample size problem, Patt. Recogn. 41(1) (2008) 102-116.
    • (2008) Patt. Recogn , vol.41 , Issue.1 , pp. 102-116
    • Liu, J.1    Chen, S.C.2    Tan, X.3
  • 9
    • 38149040385 scopus 로고    scopus 로고
    • A. M. Martinez and R. Benavente, The AR face database, Technical Report, CVC (1998).
    • A. M. Martinez and R. Benavente, The AR face database, Technical Report, CVC (1998).
  • 10
    • 0032042805 scopus 로고    scopus 로고
    • On expected classification error of the fish linear classifier with pseudo-inverse covariance matrix
    • S. Raudys and R. P. W. Duin, On expected classification error of the fish linear classifier with pseudo-inverse covariance matrix, Patt. Recogn. Lett. 19(5-6) (1998) 385-392.
    • (1998) Patt. Recogn. Lett , vol.19 , Issue.5-6 , pp. 385-392
    • Raudys, S.1    Duin, R.P.W.2
  • 11
    • 0347243182 scopus 로고    scopus 로고
    • Nonlinear component analysis as a kernel eigenvalue problem
    • B. Scholkpf, A. Smola and K. R. Muller, Nonlinear component analysis as a kernel eigenvalue problem, Neural Comput. 10(5) (1998) 1299-1319.
    • (1998) Neural Comput , vol.10 , Issue.5 , pp. 1299-1319
    • Scholkpf, B.1    Smola, A.2    Muller, K.R.3
  • 12
    • 0000282893 scopus 로고    scopus 로고
    • Stabilizing classifiers for very small sample size
    • M. Skurichina and R. Duin, Stabilizing classifiers for very small sample size, Int. Conf. Pattern Recognition (1996), pp. 891-896.
    • (1996) Int. Conf. Pattern Recognition , pp. 891-896
    • Skurichina, M.1    Duin, R.2
  • 13
    • 0033463508 scopus 로고    scopus 로고
    • Regularization of linear classifiers by adding redundant features
    • M. Skurichina and R. Duin, Regularization of linear classifiers by adding redundant features, Patt. Anal. Appl. 2(1) (1999) 44-52.
    • (1999) Patt. Anal. Appl , vol.2 , Issue.1 , pp. 44-52
    • Skurichina, M.1    Duin, R.2
  • 14
    • 0022752022 scopus 로고
    • Image classification by the Foley-Sammon transform
    • Q. Tian, M. Barbero, Z. H. Gu and S. H. Lee, Image classification by the Foley-Sammon transform, Opt. Eng. 25(7) (1986) 834-840.
    • (1986) Opt. Eng , vol.25 , Issue.7 , pp. 834-840
    • Tian, Q.1    Barbero, M.2    Gu, Z.H.3    Lee, S.H.4
  • 15
    • 0026065565 scopus 로고
    • Eigenfaces for recognition
    • M. Turk and A. Pentland, Eigenfaces for recognition, J. Cogn. Neurosci. 3(1) (1991) 71-96.
    • (1991) J. Cogn. Neurosci , vol.3 , Issue.1 , pp. 71-96
    • Turk, M.1    Pentland, A.2
  • 16
    • 21244494853 scopus 로고    scopus 로고
    • A two-stage linear discriminant analysis via qr-decomposition
    • J. Ye and Q. Li, A two-stage linear discriminant analysis via qr-decomposition, IEEE Trans. Patt. Anal. Mach. Intell. 27(6) (2005) 929-941.
    • (2005) IEEE Trans. Patt. Anal. Mach. Intell , vol.27 , Issue.6 , pp. 929-941
    • Ye, J.1    Li, Q.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.